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市场调查报告书
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1425034

对话AI市场－2024年至2029年预测

Conversational AI Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2个工作天内

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简介目录

对话式人工智慧市场预计在预测期内复合年增长率为 33.26%。

对话式人工智慧是一种人工推理，赋予电脑掌握、处理和创造人类语言的能力。对话式 AI 将 NLP 和 ML 与聊天机器人等传统语言技术相结合，使电脑能够理解、处理和生成人类语言。 NLP 和 ML 用于使聊天机器人能够以模仿人类互动的方式回应使用者。对话式人工智慧聊天机器人通常是基于规则的，它们的对话由预先定义的答案引导，将使用者引导至特定资讯。 NLP 让 PC 理解话语和文字并与人对话。基于电脑的会话智慧在重现真实人类讨论的能力方面受到限制，并且无意欺骗任何人。然而，对话式人工智慧存在伦理问题，包括偏见、缺乏隐私和安全以及剽窃。

介绍

对话式人工智慧 (CAI) 是一个快速发展的领域，它使用自然语言处理 (NLP) 和机器学习 (ML) 使电脑能够理解、处理和产生人类语言。 CAI 主要表现为聊天机器人，这是一种基于规则的程序，其对话流基于预定义的答案，旨在引导用户获取特定资讯。然而，CAI 引发了诸如偏见、隐私和安全漏洞以及抄袭等道德问题。儘管有这些担忧，随着企业和组织采用聊天机器人和其他 CAI 技术来增强客户服务和参与度，CAI 市场预计将继续扩大。

促进因素

  • 个人化客户服务的需求
  • 降低离职率：对话式人工智慧可以透过为客户问题提供快速有效的解决方案来减少客户流失。
  • 降低营运成本：
  • 绘製和分析客户行为：对话式人工智慧透过收集和分析客户互动资料来帮助映射和分析客户行为。
  • 越来越关注客户参与和保留率：对话式人工智慧（也称为对话式运算）是一个快速发展的领域，正在改变企业与客户互动的方式。透过提供客製化和高效的客户支持，企业可以进一步提高消费者的忠诚度和信任度。

主要企业提供的产品

  • Vertex AI 由 Google 提供，是一个为开发人员和资料科学家加速 ML 模型和 AI 开发的平台。 Google Cloud ML Platform 是一个强大且有效率的机器学习平台，包含适用于 ML 生命週期每个阶段的一整套工具和服务，从资料准备和特征工程到模型训练、配置和监控。
  • Microsoft 的 Microsoft Power Virtual Agents 是一个低程式码/无程式码平台，用于建置和部署对话式 AI 机器人。 Microsoft Power Apps 是 Microsoft Power Platform 中的低程式码应用开发平台，可让公司无需编写程式码即可建立自订业务应用程式。
  • AWS 提供 Lex 对话式 AI。为开发人员提供完全託管的对话式人工智慧服务。它使用与 Amazon Alexa 相同的技术。

对话式人工智慧市场中自然语言处理（NLP）领域的显着成长：

由于多种因素，对话式人工智慧市场中的自然语言处理 (NLP) 领域正在实现显着成长。自然语言处理（NLP）主要是人工智慧的一个分支，它允许电脑理解人类的口头和书面语言。它有广泛的应用，包括个人助理、客户支援聊天机器人和情绪分析。随着公司寻求转变经营模式并改善客户服务和参与度，NLP 受到数位转型兴起的推动。然而，NLP仍然存在句法和语义分析困难以及需要深度学习技术等问题。儘管存在这些挑战，随着公司越来越多地采用聊天机器人和其他对话式人工智慧技术，NLP 的受欢迎程度预计将继续增长。

亚太地区预计将在对话式人工智慧市场中占据主要份额：

由于各种因素，预计亚太地区将在对话式人工智慧市场中占据很大份额。这些因素包括大量人口、不断增长的智慧型手机普及以及整个行业的数位化，这些因素正在推动对话式人工智慧在韩国、中国、日本和印度等国家的采用。此外，中国领先的 IT 公司正在对话式人工智慧领域进行大量投资，其中聊天机器人和语音助理正在取得重大进展。该地区也为银行、医疗保健和电子商务等行业的对话式人工智慧应用提供了前景。随着协会关于最先进的客户援助管理和进步的资讯的发展，亚太地区可能会经历重大发展。然而，对话式人工智慧市场预计将在全球范围内成长，其中北美和欧洲也占据很大份额。

主要进展：

  • 2023 年 7 月，Conversica 发布了 Conversica Answers v2。这种人工智慧已经改进为与人类相似，允许公司的收入数位助理(RDA) 透过基于网路的存取、简讯和由电脑智慧生成的电子邮件与每一位潜在客户、潜在客户和客户进行沟通，而无需脚本。允许您进行对话。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查资料
  • 调查过程

第三章执行摘要

  • 研究亮点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析

第五章对话人工智慧市场：按组成部分

  • 介绍
  • 解决方案
  • 管理服务
  • 专业服务
    • 培训和咨询
    • 系统整合与实施
    • 支援与维护

第六章 对话人工智慧市场：按发展划分

  • 介绍
  • 本地
  • 云

第 7 章 对话 AI 市场：按类型

  • 介绍
  • 聊天机器人
  • 智慧虚拟助理（IVA）

第八章对话人工智慧市场：依技术分类

  • 介绍
  • 自然语言处理（NLP）
  • 机器学习和深度学习
  • 自动语音辨识(ASR)

第 9 章 对话 AI 市场：以最终用户划分

  • 介绍
  • BFSI
  • 媒体和娱乐
  • 零售
  • 资讯科技和通讯
  • 卫生保健
  • 车
  • 旅行和旅游
  • 食品与饮品
  • 其他的

第10章 对话AI市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 以色列
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 印尼
    • 泰国
    • 其他的

第十一章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作

第十二章 公司简介

  • Google
  • Microsoft
  • Amazon Web Services, Inc.
  • IBM
  • Oracle
  • Nuance Communications, Inc.
  • FIS
  • SAP SE
  • Kore.ai, Inc.
简介目录
Product Code: KSI061616111

The conversational AI market is estimated to grow at a CAGR of 33.26% during the forecast period.

Conversational AI is a kind of man-made reasoning that empowers PCs to grasp, process, and create human language. Conversational AI combines NLP and ML with traditional interactive technologies like chatbots to enable computers to understand, process, and generate human language. NLP and ML are used to enable chatbots to respond to users in a way that mimics human interaction. Conversational AI chatbots are typically rules-based, and their conversations are guided by predefined answers that lead users to specific information. figuring out (NLU) and AI (ML) to hold human-like discussions with clients. NLP permits PCs to appreciate discourse and text so they can speak with people. Conversational computer-based intelligence has limits in its capacity to recreate a genuine human discussion and isn't intended to trick somebody. However, there are ethical concerns associated with conversational AI, including bias, lack of privacy and security, and plagiarism.

Introduction:

Conversational AI (CAI) is a fast-growing field that uses natural language processing (NLP) and machine learning (ML) to allow computers to understand, process, and generate human language.. CAI has primarily manifested as chatbots, rules-based programs with conversation flows based on predefined answers designed to guide users through particular information. However, CAI raises ethical concerns such as bias, privacy and security gaps, and plagiarism. Despite these concerns, the CAI market is anticipated to continue expanding as businesses and organizations adopt chatbots and other CAI technologies to enhance customer service and engagement.

Drivers:

  • Need for personalized customer service: Conversational AI enables businesses to provide personalized customer service by understanding and responding to customer queries in real-time.
  • Reduced churn: Conversational AI can help reduce customer churn by providing quick and efficient solutions to customer problems. This can help businesses retain customers and reduce the cost of acquiring new ones.
  • Reducing operational costs: Conversational AI can reduce operational costs by automating repetitive tasks in customer service and support.
  • Mapping and analyzing customer behavior: Conversational AI can help businesses map and analyze customer behavior by collecting and analyzing data from customer interactions. This can assist organizations with distinguishing patterns and open doors for development.
  • Growing focus on customer engagement and retention: Conversational AI, also known as conversational computing, is a rapidly growing field that is transforming the way businesses interact with their customers. By giving customized and productive client support, organizations can further develop consumer loyalty and reliability.

Products offered by key companies:

  • Google offers Vertex AI which is a platform that accelerates ML model and AI development for developers and data scientists. and more efficiently. Google Cloud ML Platform is a powerful and efficient machine learning platform that provides a complete set of tools and services for all stages of the ML lifecycle., from data preparation and feature engineering to model training, deployment, and monitoring.
  • Microsoft offers Microsoft Power Virtual Agents which is a low-code/no-code platform for building and deploying conversational AI bots. Microsoft Power Apps is a low-code application development platform within the Microsoft Power Platform that enables organizations to create custom business applications without writing code.
  • AWS offers Lex Conversational AI Fully managed conversational AI service for developers. It is powered by the same technology that powers Amazon Alexa.

Prominent growth in the Natural Language Processing (NLP) segment within the conversational AI market:

The Natural Language Processing (NLP) segment within the conversational AI market has seen prominent growth due to several factors. Natural language processing (NLP) is mainly a field of artificial intelligence that enables computers to understand human language, both spoken and written. This has a wide range of applications, including personal assistants, customer support chatbots, and sentiment analysis.NLP is driven by the rising digital transformation, as businesses seek to transform their business models and improve customer service and engagement. However, there are still challenges associated with NLP, such as the difficulty of syntactic and semantic analysis, and the need for deep learning techniques. Despite these challenges, NLP is expected to continue to grow in popularity as businesses increasingly adopt chatbots and other conversational AI technologies.

The Asia Pacific region is expected to hold a significant share of the conversational AI market:

The Asia Pacific region is expected to hold a significant share of the conversational AI market due to various factors. These factors include a large population, expanding smartphone penetration, and more digitalization across industries, which are promoting the adoption of conversational AI in countries such as South Korea, China, Japan, and India. Additionally, large IT companies in China are significantly investing in conversational AI, and the sector is seeing tremendous advancements in chatbots and voice assistants. The region also offers prospects for conversational AI applications in industries including banking, healthcare, and e-commerce. Because of associations' developing information on state-of-the-art client assistance administrations and advances, the Asia Pacific might have critical development. However, the conversational AI market is expected to grow globally, with North America and Europe also holding significant shares of the market.

Key developments:

  • In March 2023, Google released Bard, a large language model that can generate text, translate languages, write different kinds of creative content, and answer questions in an informative way.
  • In July 2023, Conversica launched Conversica Answers v2, with human-like AI improvements that will allow the company's Revenue Digital Assistants (RDAs) to engage every lead, prospect, and customer in unscripted conversations through computer-based intelligence-created web-based visit, SMS, and email.

Segments

By Component

  • Solutions
  • Managed Services
  • Professional Services
  • Training & Consulting
  • System Integration & Implementation
  • Support & Maintenance

By Deployment

  • On-premises
  • Cloud

By Type

  • Chatbots
  • Intelligent Virtual Assistant (IVA)

By Technology

  • Natural Language Processing (NLP)
  • ML and Deep Learning
  • Automatic Speech Recognition (ASR)

By End-user

  • BFSI
  • Media & Entertainment
  • Retail
  • IT & Telecommunication
  • Healthcare
  • Automotive
  • Travel and Tourism
  • Food & Beverages
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. CONVERSATIONAL AI MARKET, BY COMPONENT

  • 5.1. Introduction
  • 5.2. Solutions
  • 5.3. Managed Services
  • 5.4. Professional Services
    • 5.4.1. Training & Consulting
    • 5.4.2. System Integration & Implementation
    • 5.4.3. Support & Maintenance

6. CONVERSATIONAL AI MARKET, BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. On-premises
  • 6.3. Cloud

7. CONVERSATIONAL AI MARKET, BY TYPE

  • 7.1. Introduction
  • 7.2. Chatbots
  • 7.3. Intelligent Virtual Assistant (IVA)

8. CONVERSATIONAL AI MARKET, BY TECHNOLOGY

  • 8.1. Introduction
  • 8.2. Natural Language Processing (NLP)
  • 8.3. ML and Deep Learning
  • 8.4. Automatic Speech Recognition (ASR)

9. CONVERSATIONAL AI MARKET, BY END-USER

  • 9.1. Introduction
  • 9.2. BFSI
  • 9.3. Media & Entertainment
  • 9.4. Retail
  • 9.5. IT & Telecommunication
  • 9.6. Healthcare
  • 9.7. Automotive
  • 9.8. Travel and Tourism
  • 9.9. Food & Beverages
  • 9.10. Others

10. CONVERSATIONAL AI MARKET, BY GEOGRAPHY

  • 10.1. Introduction
  • 10.2. North America
    • 10.2.1. United States
    • 10.2.2. Canada
    • 10.2.3. Mexico
  • 10.3. South America
    • 10.3.1. Brazil
    • 10.3.2. Argentina
    • 10.3.3. Others
  • 10.4. Europe
    • 10.4.1. United Kingdom
    • 10.4.2. Germany
    • 10.4.3. France
    • 10.4.4. Spain
    • 10.4.5. Others
  • 10.5. The Middle East and Africa
    • 10.5.1. Saudi Arabia
    • 10.5.2. UAE
    • 10.5.3. Israel
    • 10.5.4. Others
  • 10.6. Asia Pacific
    • 10.6.1. Japan
    • 10.6.2. China
    • 10.6.3. India
    • 10.6.4. South Korea
    • 10.6.5. Indonesia
    • 10.6.6. Thailand
    • 10.6.7. Others

11. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 11.1. Major Players and Strategy Analysis
  • 11.2. Market Share Analysis
  • 11.3. Mergers, Acquisitions, Agreements, and Collaborations

12. COMPANY PROFILES

  • 12.1. Google
  • 12.2. Microsoft
  • 12.3. Amazon Web Services, Inc.
  • 12.4. IBM
  • 12.5. Oracle
  • 12.6. Nuance Communications, Inc.
  • 12.7. FIS
  • 12.8. SAP SE
  • 12.9. Kore.ai, Inc.